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Volumn , Issue , 2010, Pages 1741-1745

Monocular vision SLAM based on key feature points selection

Author keywords

EKF SLAM; Key point selection; Monocular vision; Robot; SIFT

Indexed keywords

AUTONOMOUS NAVIGATION; CONVERGENCE VELOCITY; EKF-SLAM; EXTEND KALMAN FILTERS; FEATURE POINT; HIGH STABILITY; KEY FEATURE; KEY POINT SELECTION; KEYPOINTS; MONOCULAR SLAM; MONOCULAR VISION; SCALE INVARIANT FEATURE TRANSFORMS; SELECTION METHODS; SIFT; SIMULTANEOUS LOCALIZATION AND MAPPING; STRAIGHT LINES;

EID: 77955742747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICINFA.2010.5512217     Document Type: Conference Paper
Times cited : (7)

References (10)
  • 6
    • 0036055481 scopus 로고    scopus 로고
    • Improving computational and memory requirements of simultaneous localization and map building algorithms
    • J. Guivant and E. Nebot,"Improving computational and memory requirements of simultaneous localization and map building algorithms", IEEE International Conference on Robotics and Automation, pp. 2731-2736, 2002.
    • (2002) IEEE International Conference on Robotics and Automation , pp. 2731-2736
    • Guivant, J.1    Nebot, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.